Senior Machine Learning Engineer at Nabla | Paris

About NablaAt Nabla, we are a pioneering team of entrepreneurs, clinicians, and engineers dedicated to revitalizing the joy of practicing medicine.In collaboration with a network of clinician innovators, we have leveraged cutting-edge machine learning technologies to create Nabla: the foremost AI assistant that is reestablishing the vital human connection in healthcare. By optimizing clinical documentation, Nabla empowers clinicians to prioritize what truly matters - patient care. Currently, over 85,000 clinicians from more than 130 healthcare organizations rely on Nabla to enhance their daily care delivery.We are embarking on an exciting journey: Ambient listening, dictation, coding, and command capabilities are merging into a proactive assistant that intuitively improves clinical and financial workflows.With a recent $70M Series C funding, we are expanding our team to build the next generation of clinical AI and enhance the lives of clinicians and patients globally.Join us at this pivotal moment!Leading AI Solutions for HealthcareNabla's impressive growth is the culmination of three years of dedicated product development.Our team, guided by former Meta AI Research engineers, consistently foresees how AI can transform healthcare delivery. The Machine Learning division continually harnesses the latest innovations to realize AI's full potential in healthcare.Notably, Yann LeCun, Meta’s Chief AI Scientist and Turing Award recipient, serves as an advisor to Nabla.Engineering Culture at NablaOur engineering environment is streamlined, agile, and highly technical. Our teams encompass machine learning, native desktop applications, and platform infrastructure to deliver AI solutions in clinical settings reliably and at scale.Your RoleAs a Senior Machine Learning Engineer, you will be instrumental in transforming clinicians’ workflows, enhancing patient care, and ensuring Nabla stays at the forefront of AI advancement. You will take the lead on impactful projects and play a key role in the maturation of our products, contributing to the overall success of our mission.

About NablaAt Nabla, we are a dynamic collective of entrepreneurs, clinicians, and engineers dedicated to reinvigorating the joy of practicing medicine.In collaboration with a community of innovative clinicians, we have leveraged cutting-edge machine learning to create Nabla: the premier AI assistant designed to restore the human connection in healthcare. By optimizing clinical documentation, Nabla empowers clinicians to prioritize what truly matters—their patients. Currently, over 85,000 clinicians from more than 130 healthcare organizations rely on Nabla to enhance their daily care delivery.We are embarking on an ambitious journey to integrate ambient listening, dictation, coding, and command functionalities into a proactive assistant that seamlessly streamlines both clinical and financial workflows.With a recent $70M Series C funding, we are expanding our team to build the next generation of clinical AI and enhance the lives of clinicians and patients worldwide.This is an exciting moment to join our mission!The Best of AI Serving HealthcareNabla’s remarkable success is a testament to three years of dedicated product development.Guided by former Meta AI Research engineers, our team has consistently envisioned how AI can transform healthcare delivery. Our Machine Learning team is at the forefront of utilizing the latest advancements to unlock AI’s full capabilities within the healthcare sector.Yann LeCun, Chief AI Scientist at Meta and Turing Award laureate, serves as an advisor for Nabla.Engineering Excellence at NablaAt Nabla, our engineering culture is agile, innovative, and deeply technical. Our teams encompass machine learning, native desktop applications, and platform infrastructure, working together to deliver AI reliably and at scale in clinical settings.Your TeamIn our organization, product development is a collaborative effort led by Engineering and Product, structured into cross-functional squads focusing on specific product areas. Each squad comprises product managers, designers, engineers of various specializations, and domain experts, functioning with high ownership. As a Senior Back-End Engineer, you will be an integral part of one of these squads, contributing from end to end to a specific product segment.What You'll DoIn your role as a Senior Back-End Engineer, you will be instrumental in scaling Nabla’s AI-powered healthcare platform. You will own key components of our back-end systems, closely collaborate with product and machine learning teams, and influence the technical direction of our projects.

Join nabla as a Senior Machine Learning Engineer specializing in Speech to Text technologies. You'll work at the forefront of AI, developing innovative solutions to enhance communication through advanced speech recognition. Collaborate with a talented team to push the boundaries of machine learning applications, focusing on real-world impact and user experience.

About Nabla Nabla brings together entrepreneurs, clinicians, and engineers with a shared goal: making clinical work more rewarding for healthcare professionals. The team partners closely with forward-thinking clinicians to build an AI assistant that streamlines documentation and supports patient care. Nabla’s platform is now trusted by over 100,000 clinicians in more than 130 healthcare organizations. With recent Series C funding of $70M, Nabla is growing its Paris-based team to develop the next wave of clinical AI. The company’s roadmap includes expanding features such as ambient listening, dictation, coding, and command tools, all aimed at improving both clinical and financial workflows. AI and Healthcare at Nabla Nabla’s rapid growth is built on three years of focused product development. The engineering team, including former Meta AI Research engineers, stays ahead of the curve in applying AI to healthcare. The company benefits from the guidance of Yann LeCun, Chief AI Scientist at Meta and Turing Award winner, who serves as an advisor. Engineering Culture Engineering at Nabla is lean, agile, and technical. Teams work across machine learning, desktop applications, and platform infrastructure to deliver AI solutions that can scale in clinical environments. How Teams Work Product development at Nabla happens in cross-functional squads. Each squad focuses on a specific product area and includes product managers, designers, engineers with varied backgrounds, and domain experts. High ownership and collaboration define the way these squads operate. Senior Full-Stack Engineers join a squad and contribute to a focused part of the product. What You Will Do As a Senior Full-Stack Engineer in the Paris office, expect to play a key role in building and scaling Nabla’s AI-powered healthcare platform. The work covers multiple layers of the platform, integrating advanced technologies to improve both user experience and operational efficiency.

About Nabla Nabla brings together entrepreneurs, healthcare professionals, and engineers to restore the joy of practicing medicine. The team collaborates closely with innovative clinicians, applying advanced machine learning to build an AI assistant that strengthens the human connection in healthcare. By streamlining clinical documentation, Nabla helps providers focus on patient care. Today, more than 100,000 clinicians from over 130 healthcare organizations use Nabla to support their daily work. With $70M secured in a recent Series C round, Nabla is expanding to advance clinical AI and improve experiences for clinicians and patients worldwide. The company is currently developing a proactive assistant with ambient listening, dictation, coding, and command features to simplify both clinical and financial workflows. AI and Product Development Over the past three years, Nabla has invested deeply in product development. The team includes former Meta AI Research engineers, working at the intersection of AI and healthcare. Nabla’s Machine Learning group leverages the latest research to unlock new possibilities for care delivery. Yann LeCun, Chief AI Scientist at Meta and Turing Award recipient, advises Nabla. Engineering at Nabla Nabla’s engineering culture is lean, agile, and technical. Teams specialize in machine learning, native desktop applications, and platform infrastructure, all focused on delivering reliable AI solutions at scale for clinical environments. Role Overview: Full-Stack Engineer (Paris Office) The Full-Stack Engineer will join a cross-functional squad, working alongside product managers, designers, engineers, and domain experts. Squads at Nabla operate with strong ownership, taking products from concept to launch together. Main Responsibilities Build and improve features for Nabla’s web and desktop products. Help design and implement back-end APIs and services.

nabla is looking for a Senior Front-End Engineer with deep experience in React to join the Paris office. This position centers on building web applications that are both dynamic and user-friendly, with a strong focus on delivering a polished user experience. Role overview Work closely with colleagues across disciplines to design, develop, and refine the front-end architecture. The goal is to ensure applications remain fast, responsive, and reliable. Day-to-day, expect to collaborate with product and design teams to translate ideas into seamless interfaces. What you will do Develop and optimize React-based web applications for performance and usability Work with cross-functional teams to implement new features and improvements Guide junior developers and help set coding standards, testing procedures, and deployment practices Impact This role shapes the quality of nabla’s products and directly influences customer satisfaction. Senior engineers here play a key part in mentoring others and establishing best practices across the front-end team.

Role overview sia is looking for a Machine Learning Engineer based in Paris. This position centers on building and refining machine learning models and algorithms that power sia’s software and platforms. The goal is to develop solutions that address practical, real-world needs. What you will do Design and develop machine learning models that support sia’s products Work closely with colleagues from various teams to address technical challenges Help enhance and evolve AI-driven features across our offerings Team and culture Join a group of professionals who value technology’s influence and enjoy working together on meaningful problems.

Role Overview iliad-free is hiring a Machine Learning Engineer in Paris. This position focuses on developing and improving products with advanced machine learning techniques, including work with large language models (LLMs). The role sits within the tech and digital teams, where close collaboration drives new solutions for telecommunications challenges. What You Will Do Work alongside technical and digital colleagues to design, build, and refine machine learning models Apply modern algorithms and technologies to real-world product needs Contribute ideas and code that shape current and future projects Impact Results from this work help iliad-free stay competitive and innovative within the telecommunications sector. Contributions in this role have a direct effect on ongoing and upcoming projects.

Join our dynamic team at iliad-free in Paris as a Machine Learning Engineer Intern. This is an exciting opportunity for students or recent graduates to gain hands-on experience in the world of machine learning and large language models (LLM).As an intern, you will work closely with our talented engineers to develop innovative solutions that leverage advanced machine learning techniques. You will have the chance to contribute to real projects and enhance your skills in a collaborative environment.

Voodoo is looking for a Senior Machine Learning Engineer in Paris to design and implement machine learning algorithms for mobile games. This position centers on building technology that enhances the gaming experience for millions of players. Key responsibilities Develop and deploy machine learning models specifically for mobile gaming applications Work closely with product and engineering teams to bring algorithms into live products Experiment with new methods to improve gameplay and increase user engagement Working at Voodoo Voodoo is recognized for its creative approach to mobile gaming and commitment to innovation. The company values practical solutions that make a real difference in game development and player satisfaction.

Join Squad Maât at Doctrine as a Senior Machine Learning Engineer. In this role, you will collaborate with cutting-edge technologies and lead innovative projects that shape the future of machine learning. Your expertise will be pivotal in enhancing our predictive models and optimizing data-driven solutions.

Join nabla as an Engineering Manager and lead a dynamic team dedicated to innovative solutions in technology. In this role, you will oversee the engineering department, ensuring that projects are delivered on time and meet quality standards. You’ll work closely with cross-functional teams to drive product development and improve processes, fostering a culture of collaboration and continuous improvement.

Role overview Ubisoft Entertainment S.A. seeks a Machine Learning Engineer (H/F/NB) for its Paris team. The role centers on designing AI solutions that enhance gameplay and introduce new features for players. What you will do Create and refine machine learning models to support both game development and player engagement. Use data analysis to guide and improve AI-powered features. Work closely with other teams to bring machine learning solutions into Ubisoft games. Location This role is located in Paris.

Join our innovative team at jobteaser as a Machine Learning Engineer. In this role, you will be instrumental in developing cutting-edge machine learning models that will drive our data initiatives forward. Your expertise will help us harness the power of data to enhance our services and provide exceptional value to our users.We are looking for a passionate engineer who thrives in a collaborative environment and is eager to tackle complex problems. If you have a strong background in machine learning and a desire to make a real impact in the tech industry, we want to hear from you!

Join Our Team as a Machine Learning EngineerAt Harmattan AI, we are pioneering the development of autonomous and scalable defense systems that make a meaningful impact. With our recent $200 million Series B funding, which has propelled our valuation to $1.4 billion, we are expanding our innovative teams to deliver essential systems to allied forces.Our core values include a commitment to technological advancement with real-world applications, a relentless pursuit of excellence, ambitious goal-setting, and tackling the most complex technical challenges. We thrive in an environment where high standards, accountability, and execution are paramount.Role OverviewAs a Machine Learning Engineer on our Foundational team based in Paris, you will be crucial in developing the cognitive capabilities of our tactical robots. Your primary responsibility will be to architect and scale large, multi-modal foundational models that derive robust battlefield representations through Self-Supervised Learning (SSL) from extensive unlabelled Electro-Optical (EO) and Infrared (IR) data. These foundational weights will empower our Edge AI team to create highly accurate models for tactical hardware.Key ResponsibilitiesArchitectural Design: Innovate neural network architectures (such as Vision Transformers) and loss functions (including Masked Autoencoders and Contrastive Learning) to effectively learn from both paired and unpaired EO and IR datasets.Training Infrastructure Management: Oversee and enhance training pipelines across multi-node GPU clusters, optimizing mixed-precision training and data loading processes.Evaluation of Representations: Establish metrics and linear-probing benchmarks to validate that the latent space captures meaningful semantic features prior to model distillation.Data Strategy Development: Assess current EO/IR data lakes and implement cross-attention mechanisms to integrate diverse sensor features.Collaboration: Work closely with Data Engineers on data ingestion pipelines and partner with the Edge AI team to ensure seamless transitions of high-performance models.

Our Mission At Doctrine, we have been committed since 2016 to a significant democratic challenge: making law more accessible. We are the leading legal AI platform enabling lawyers and legal professionals to free themselves from repetitive and time-consuming tasks, allowing them to focus on what truly matters at every stage of their work—be it understanding a case, researching information, or drafting documents. Today, Doctrine attracts over 1 million visits monthly, with dozens of new legal professionals joining us each day. Our ambition extends beyond borders: we aim to establish ourselves as the European leader in legal AI. Following our successful launch in France and Italy, we are currently expanding into Germany with a strong belief that we must think globally while implementing locally. We prioritize understanding the unique needs of our clients and deeply comprehend the nuances of each legal system. And this is just the beginning!Our Values Challenge the Status Quo. We champion bold ideas and intelligent risk-taking.Liberty and Responsibility. We promote autonomy, individual impact, and ownership.Knowledge is Power. Information is at the heart of Doctrine's mission, and we strive for continuous learning.Release Early, Release Often and Listen to Your Customers. We believe in the power of iteration and the importance of constantly listening to our market, our clients, and their challenges.The ContextWe are seeking a Senior Machine Learning Engineer to assist us in building the first legal intelligence platform.You will join a high-impact squad, playing a central role in scaling the entire Engineering team at Doctrine.This position involves cross-functional missions across squads, countries, and multiple products (search engine, chatbot, recommendations… very engaging work).Our technical stack includes Python, PyTorch, Airflow, Gen AI, NLP, and LLM.

Our Mission? To empower small and medium-sized enterprises (SMEs) to thrive in their business endeavors and beyond by offering Europe's premier financial workspace. We seamlessly integrate advanced business tools—such as efficient invoicing, comprehensive spend management, and intuitive pre-accounting—with dedicated support available 24/7, enabling businesses to effortlessly navigate their financial landscape.Our Journey: Since our inception in July 2017, founded by Alexandre and Steve, Qonto has rapidly established trust, now serving over 600,000 clients. Our dedicated team of 1,600+ Qontoers has propelled us to be recognized in the LinkedIn Top Companies ranking in France!Our Values:Customer Commitment | We prioritize customer needs in every decision.Responsibility | Take ownership and drive results.Collaboration | Make teamwork seamless and productive.Excellence | Continuously strive to exceed expectations.Integrity | Uphold ethical standards and respect for all.Our Commitment to Diversity: At Qonto, we believe in cultivating an inclusive environment that fosters growth for everyone. We assess candidates based on their skills and potential, with an emphasis on diversity—currently comprising 55% international team members, 44% women, and 20% parents. Join us in shaping a workplace that values diversity and individual contributions.Learn about our initiatives for a discrimination-free hiring process.Join our AI Product team as a Senior Machine Learning Engineer to innovate and deploy AI solutions for over 500,000 business clients, leveraging Generative AI alongside established machine learning techniques.

About Mistral At Mistral AI, we harness the transformative power of artificial intelligence to streamline tasks, boost productivity, and foster creativity. Our innovative technology is designed for seamless integration into everyday workflows.We are committed to democratizing AI with high-performance, optimized, and cutting-edge open-source models, products, and solutions. Our extensive AI platform caters to enterprise needs in both on-premises and cloud environments. Among our offerings is le Chat, the AI assistant designed to enhance both personal and professional life.As a dynamic and collaborative team, we are passionate about AI and its potential to revolutionize society. Our diverse workforce thrives in competitive settings, dedicated to driving innovation. With teams located in France, the USA, the UK, Germany, and Singapore, we embody creativity, humility, and a strong team spirit.Join us at Mistral to help shape the future of AI and make a significant impact together. Discover more about our culture at https://mistral.ai/careers.Role SummaryAs a Machine Learning Engineer focused on open-source software, you will be pivotal in releasing state-of-the-art models and enhancing Mistral’s publicly available libraries. Your contributions will facilitate the transformation of research breakthroughs into practical solutions, significantly enriching Mistral's open-source ecosystem.About the Open Source Software TeamOur Open Source Software team collaborates closely with the Science team and various engineering and marketing departments. Members of the OSS team can navigate between production and research roles based on project demands and personal interests.Key Responsibilities• Release our advanced models on open-source platforms and libraries, such as vLLM, GitHub, and Hugging Face.• Maintain Mistral’s open-source libraries, including mistral-common, mistral-finetune, and mistral-inference.• Develop and maintain both internal and external-facing tools and services to support research and open-source initiatives.

Join our dynamic team at Ubisoft as a Senior Machine Learning Engineer focusing on cutting-edge AI initiatives. In this role, you will leverage your deep understanding of machine learning algorithms and data analytics to develop innovative solutions that enhance our gaming experiences. Collaborate with cross-functional teams to drive AI projects from conception to implementation, ensuring top-notch performance and scalability.

At Hugging Face, we are committed to making AI accessible for everyone. Join us in building the fastest-growing platform for AI enthusiasts, boasting over 11 million users who have collectively shared more than 2 million models, 700,000 datasets, and 600,000 applications. Our open-source libraries have garnered over 600,000 stars on GitHub.About the RoleWe are looking for a talented and enthusiastic Open-Source Machine Learning Engineer to join our Paris team. In this pivotal role, you will be responsible for developing, integrating, and maintaining our core library, ensuring that cutting-edge AI for Robotics technology is accessible to our community.Your main responsibilities will include:ML Model Integration & Scaling: Port and scale PyTorch ML models for robotics applications, managing pretraining and large-scale training workflows.Core Library Development: Refactor, manage, and improve the API, architecture, and infrastructure of the core library to ensure robustness, scalability, and user-friendliness.Feature Development & Exploration: Lead the development and deployment of new, robust features while exploring and integrating new technologies relevant to AI and robotics.Community Engagement & Maintenance: Manage and merge community pull requests (PRs), address reported issues, and serve as a technical liaison for the community.Infrastructure & Benchmarking: Implement and maintain integrations with platforms like the Hugging Face Hub, perform benchmarking and profiling to ensure optimal performance, and manage library dependencies.About YouEducation: MS or PhD in Computer Science, Machine Learning, or a related field.Machine Learning Expertise: Hands-on experience with PyTorch and a solid understanding of efficient ML development and deployment abstractions.ML Literature & Systems Knowledge: Familiarity with current robot learning literature and experience in integrating ML models into larger systems.Strong Software Development Skills: Exceptional coding ability (e.g., Python) with experience in building and maintaining complex, production-quality libraries.Software Design & Maintenance: Proven track record in managing the technical lifecycle of a library, including refactoring, maintaining API stability, and dependency management.Bonus Points:Prior contributions to open-source libraries in robotics, particularly on LeRobot.If you are eager to join us but don’t meet every qualification, we still encourage you to apply! We aim to build a diverse team with a wide range of skills, experiences, and backgrounds.